Collaborative Cyclostationary Spectrum Sensing for Cognitive Radio Systems
By J. Lundén, Visa Koivunen, Anu Huttunen, H. Vincent Poor. IEEE Transactions on Signal Processing, 2009
373 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/d5e4765d9d9bf1ddb2d917b17a4dca6b8cd0bf6e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Andreas Bollig
- Geoffrey Y. Li
- Petri Mähönen
- Kwang-Cheng Chen
- Walaa Hamouda
- Abdelmohsen Ali
- Ying-Chang Liang
- Ian F. Akyildiz
In Computer Networks and Communications
- Brandon F. Lo
- Ying-Chang Liang
- Geoffrey Y. Li
- Ravikumar Balakrishnan
- Ian F. Akyildiz
- Kwang-Cheng Chen
- Petri Mähönen
- Walaa Hamouda
Citations in the corpus
- Spectrum sensing in cognitive radio (2016, background): “Given the estimated quantities described above, the following generalized likelihood ratio (GLR) test statistic can be derived [42] Txx∗ = N r̂xx∗(a0)Σ̂ xx∗(a0)r̂ T xx∗(a0).”
- Cognitive radio networking and communications: an overview (2011, methodology): “If individual CR users use the cyclic detector, the cyclic statistics can be reported to the fusion center for cooperation optimization [48].”
- Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, background): “Furthermore, the sensing interval for this type of detectors is known to be high [89].”
- Cooperative spectrum sensing in cognitive radio networks: A survey (2011, methodology): “In [37], a cooperative sensing schemewith cyclostationary feature detection is proposed.”